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Spencer De Mars

dblp:223/3201 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational finance and economics · 100%
Databases, data mining, and information retrieval
1 paper
Data mining · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational finance and economics › pricing
dynamic pricing
0.312018
Customized Regression Model for Airbnb Dynamic Pricing · KDD 2018
Computational finance and economics
pricing
0.312018
Customized Regression Model for Airbnb Dynamic Pricing · KDD 2018
Data mining › predictive modeling
regression
0.312018
Customized Regression Model for Airbnb Dynamic Pricing · KDD 2018

Methods — techniques the papers use, named apart from their topics

regression model · 0.7
YearPublicationVenuePosition
2018 Customized Regression Model for Airbnb Dynamic Pricing
abstract
This paper describes the pricing strategy model deployed at Airbnb, an online marketplace for sharing home and experience. The goal of price optimization is to help hosts who share their homes on Airbnb set the optimal price for their listings. In contrast to conventional pricing problems, where pricing strategies are applied to a large quantity of identical products, there are no "identical" products on Airbnb, because each listing on our platform offers unique values and experiences to our guests. The unique nature of Airbnb listings makes it very difficult to estimate an accurate demand curve that's required to apply conventional revenue maximization pricing strategies.
Julian Qian, Chen-Hung Wu, Spencer De Mars, Frank Yang
KDD6